MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.
CertNexus
Skills you'll gain: Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Model Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Communication, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Intrusion Detection and Prevention, Cyber Security Strategy, Cyber Threat Intelligence, Cybersecurity, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Cloud Computing, Classification Algorithms
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Continuous Monitoring, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, AI Workflows, Data Store, Version Control, Metadata Management
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Cloud Deployment, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), AI Workflows, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Prompt Engineering, Model Deployment, Cloud Infrastructure, Machine Learning, Data Preprocessing, Model Evaluation, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Data Preprocessing, Forecasting, Data Transformation, Predictive Modeling, Applied Machine Learning, Continuous Monitoring, Deep Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks